• DocumentCode
    274183
  • Title

    An example of back propagation: diagnosis of dyspepsia

  • Author

    Scalia, F. ; Marconi, L. ; Ridella, S. ; Arrigo, P. ; Mansi, C. ; Mela, G.S.

  • fYear
    1989
  • fDate
    16-18 Oct 1989
  • Firstpage
    332
  • Lastpage
    336
  • Abstract
    The authors attempt to apply the back-propagation method (BP), described by Rumelhart and McClelland (1986), to dyspepsia diagnosis. In particular the program utilizes the method with adaptive learning parameters taken from the method adopted by Vogl (1988). The major aim is to identify patients who are suspected of having a neoplastic disease and need further diagnostic testing. The long term aim is to analyze patients suffering from various types of dyspepsia by which symptoms may be connected to pathologies with a low margin of error
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)
  • Conference_Location
    London
  • Type

    conf

  • Filename
    51987